Literature DB >> 15538770

An efficient molecular docking using conformational space annealing.

Kyoungrim Lee1, Cezary Czaplewski, Seung-Yeon Kim, Jooyoung Lee.   

Abstract

Molecular docking falls into the general category of global optimization problems because its main purpose is to find the most stable complex consisting of a receptor and its ligand. Conformational space annealing (CSA), a powerful global optimization method, is incorporated with the Tinker molecular modeling package to perform molecular docking simulations of six receptor-ligand complexes (3PTB, 1ULB, 2CPP, 1STP, 3CPA, and 1PPH) from the Protein Data Bank. In parallel, Monte Carlo with the minimization (MCM) method is also incorporated into the Tinker package for comparison. The energy function, consisting of electrostatic interactions, van der Waals interactions, and torsional energy terms, is calculated using the AMBER94 all-atom empirical force field. Rigid docking simulations for all six complexes and flexible docking simulations for three complexes (1STP, 3CPA, and 1PPH) are carried out using the CSA and the MCM methods. The simulation results show that the docking procedures using the CSA method generally find the most stable complexes as well as the native-like complexes more efficiently and accurately than those using the MCM, demonstrating that CSA is a promising search method for molecular docking problems.

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Year:  2005        PMID: 15538770     DOI: 10.1002/jcc.20147

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  8 in total

1.  An improved adaptive genetic algorithm for protein-ligand docking.

Authors:  Ling Kang; Honglin Li; Hualiang Jiang; Xicheng Wang
Journal:  J Comput Aided Mol Des       Date:  2008-09-06       Impact factor: 3.686

2.  GalaxyDock BP2 score: a hybrid scoring function for accurate protein-ligand docking.

Authors:  Minkyung Baek; Woong-Hee Shin; Hwan Won Chung; Chaok Seok
Journal:  J Comput Aided Mol Des       Date:  2017-06-16       Impact factor: 3.686

3.  GalaxySite: ligand-binding-site prediction by using molecular docking.

Authors:  Lim Heo; Woong-Hee Shin; Myeong Sup Lee; Chaok Seok
Journal:  Nucleic Acids Res       Date:  2014-04-21       Impact factor: 16.971

4.  Generating reservoir conformations for replica exchange through the use of the conformational space annealing method.

Authors:  Asim Okur; Benjamin T Miller; Keehyoung Joo; Jooyoung Lee; Bernard R Brooks
Journal:  J Chem Theory Comput       Date:  2013-02-01       Impact factor: 6.006

5.  Molecular flexibility in ab initio drug docking to DNA: binding-site and binding-mode transitions in all-atom Monte Carlo simulations.

Authors:  Remo Rohs; Itai Bloch; Heinz Sklenar; Zippora Shakked
Journal:  Nucleic Acids Res       Date:  2005-12-13       Impact factor: 16.971

6.  Non-sequential protein structure alignment by conformational space annealing and local refinement.

Authors:  InSuk Joung; Jong Yun Kim; Keehyoung Joo; Jooyoung Lee
Journal:  PLoS One       Date:  2019-01-30       Impact factor: 3.240

7.  Computational study for protein-protein docking using global optimization and empirical potentials.

Authors:  Kyoungrim Lee
Journal:  Int J Mol Sci       Date:  2008-01-22       Impact factor: 6.208

8.  Cyndi: a multi-objective evolution algorithm based method for bioactive molecular conformational generation.

Authors:  Xiaofeng Liu; Fang Bai; Sisheng Ouyang; Xicheng Wang; Honglin Li; Hualiang Jiang
Journal:  BMC Bioinformatics       Date:  2009-03-31       Impact factor: 3.169

  8 in total

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